Staff Software Engineer, R&D

Work Flexibility: Hybrid

Join a team developing embedded software for advanced electromechanical medical devices within Stryker's Orthopaedic Instruments business. In this role, you will contribute to software systems that power surgical technologies used by orthopedic surgeons worldwide while partnering across software, electrical, mechanical, and systems engineering disciplines. You will support the development of innovative medical devices throughout the product lifecycle, from concept and architecture through verification, launch, and post-market enhancements.

• Design and develop embedded software for medical device applications and electromechanical surgical systems.
• Translate customer, user, and system requirements into software designs and implementation plans.
• Own the design, coding, integration, testing, and troubleshooting of software modules for embedded systems.
• Contribute across the product lifecycle, including concept development, architecture, verification, validation, launch, and post-market support.
• Conduct technical investigations, evaluate design alternatives, and resolve complex software and system-level issues.
• Develop and maintain software documentation, including requirements, architecture, design, test, and defect records.
• Collaborate with engineering, quality, regulatory, manufacturing, clinical, marketing, and project management teams to support product development activities.
• Review code and apply software engineering standards, best practices, and quality processes to deliver reliable software solutions.

• Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or a related discipline.
• Minimum 4 years of professional software engineering experience in an embedded systems environment.

• Experience developing software for embedded systems using C, C++, and/or Python.
• Experience configuring, debugging, and supporting microcontroller-based hardware systems.
• Experience with software quality assessment techniques, including static analysis, dynamic analysis, memory management, and code coverage.
• Experience with software verification and validation methodologies, requirements management, and traceability practices.
• Experience using software development tools such as Git, GitLab, Jira, Visual Studio Code, Arm Keil, STM32Cube, or similar platforms.
• Experience developing automated test frameworks, verification tools, or supporting engineering test laboratories and test infrastructure.